Using Mercury 2 on Vercel AI Gateway

Implementation guide · Mercury · Inception Labs

Serverless

Vercel AI Gateway exposes Mercury 2 through model ID inception/mercury-2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-23. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call inception/mercury-2 — see the documentation for request format.
  3. 3
    You'll be billed $0.25/1M input, $0.75/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
inception/mercury-2

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="inception/mercury-2",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$0.25
Output tokens$0.75

Capabilities

Structured Outputs

About Mercury 2

Inception Labs' Mercury 2 is a commercial-scale diffusion-based language model (dLLM) released February 2026. Unlike autoregressive transformers, Mercury uses a diffusion architecture for faster inference. Designed for code generation, reasoning, and analysis tasks. Proprietary, available via the Inception API.

Full model details →

Model Specs

Released2026-02-20
Context131k

Also available on(1)

OpenRouter$0.25/1M
Compare all providers →

Provider

Vercel AI Gateway

Vercel